"GAMS中的电力系统优化建模：经典模型和算例仿真"

5星 · 超过95%的资源需积分: 5 176 浏览量更新于2024-04-02 3 收藏 13.93MB PDF 举报

"Power System Optimization Modeling in GAMS" by Alireza Soroudi is a comprehensive book that delves into the use of the General Algebraic Modeling System (GAMS) in the field of power system optimization. The book explores various classic models and case studies that showcase the capabilities of GAMS in simulating and optimizing power systems. The author, Alireza Soroudi, who is affiliated with the School of Electrical Engineering at University College Dublin, provides in-depth insights into the application of GAMS in solving complex optimization problems in power systems. The book covers a wide range of topics, including economic dispatch, unit commitment, optimal power flow, and transmission expansion planning, among others. Through detailed explanations and practical examples, Soroudi demonstrates how GAMS can be used to formulate mathematical models that represent the behavior of power systems accurately. The book includes sample GAMS code snippets that allow readers to understand how the optimization models are implemented and solved using the software. One of the key strengths of the book is its focus on real-world applications of power system optimization. Soroudi presents case studies that highlight the practical implications of using GAMS in optimizing various aspects of power systems, such as generation scheduling, network congestion management, and renewable energy integration. Overall, "Power System Optimization Modeling in GAMS" is a valuable resource for researchers, professionals, and students in the field of power systems engineering. It offers a comprehensive overview of the capabilities of GAMS in modeling and optimizing power systems, making it a must-read for anyone interested in the intersection of optimization and electrical engineering.

List of Figures xvii

Fig. 10.3 Hourly power output of different plants in water-energy

nexus problem ...................................................... 269

Fig. 10.4 Gas network linkage with electricity network ..................... 269

Fig. 10.5 Hourly variation pattern of wind generation, electric and

gas demand (pu) .................................................... 274

Fig. 10.6 Hourly variation pattern of gas generation from gas sources . .. .. 275

Fig. 10.7 Hourly variation pattern of electricity power generation ......... 276

Fig. 10.8 The energy hub concept ............................................ 277

Fig. 10.9 The energy hub conﬁguration I, considering transformer,

furnace, and chiller boiler .......................................... 280

Fig. 10.10 The hourly purchased electricity and natural gas in energy

hub conﬁguration I ................................................. 282

Fig. 10.11 The hourly output of furnace unit in energy hub

conﬁguration I ...................................................... 282

Fig. 10.12 The energy hub conﬁguration II, considering transformer,

furnace, chiller boiler, CHP, and electric energy storage ......... 283

Fig. 10.13 The hourly purchased electricity and its division between

transformer and ESS in energy hub conﬁguration II .............. 285

Fig. 10.14 The hourly output of furnace unit in energy hub

conﬁguration II ..................................................... 286

Fig. 10.15 The hourly state of charge (MW h), charging, and

discharging of ESS (MW) in energy hub conﬁguration II ........ 286

Fig. 10.16 The energy hub conﬁguration III, considering transformer,

furnace, chiller boiler, CHP, electric energy storage, and

EHP ................................................................. 287

Fig. 10.17 The hourly purchased electricity and its division between

transformer and ESS in energy hub conﬁguration III ............. 289

Fig. 10.18 The hourly output of furnace unit in energy hub

conﬁguration III ..................................................... 290

Fig. 10.19 The hourly state of charge (MW h), charging, and

discharging of ESS (MW) in energy hub conﬁguration III ....... 290

Fig. 10.20 The hourly output of EHP in energy hub conﬁguration III ....... 291

List of Tables

Table 1.1 Data for illustrative example ....................................... 9

Table 3.1 The economic dispatch data for ﬁve thermal units example ...... 66

Table 3.2 The ED solution for ﬁve units example ............................ 67

Table 3.3 The ED solution for load sensitivity analysis ...................... 68

Table 3.4 Solution for different environmental dispatching strategies ...... 71

Table 3.5 Characteristic data of different technologies....................... 78

Table 3.6 Feasible operating regions of CHP units ........................... 78

Table 3.7 Solution of dispatching CHP units ................................. 79

Table 3.8 Techno-economic characteristics of thermal units................. 81

Table 3.9 Techno-economic characteristics of hydro units................... 82

Table 3.10 Hourly water inﬂows for each hydro power and hourly

electric demand ..................................................... 82

Table 3.11 Optimal hourly dispatch of hydro and thermal units ............. 85

Table 3.12 Characteristics of thermal units and their connected area ........ 88

Table 3.13 Solution of multi-area economic dispatch ......................... 91

Table 4.1 The dynamic economic dispatch data for four units example..... 96

Table 4.2 The dynamic economic dispatch solution for four units

expressed in (MW) .................................................. 100

Table 4.3 The numerical results for ramp rate sensitivity analysis in

dynamic economic dispatch of 4 units ............................. 101

Table 4.4 The numerical results for Pareto optimal solutions

(cost-based DED) ................................................... 105

Table 5.1 Unit commitment data for ten thermal units ....................... 121

Table 5.2 Power schedules (P

i;t

) of thermal units considering reserve

constraint ............................................................ 128

Table 5.3 Reserve provision (R

i;t

) by thermal units considering

reserve constraint.................................................... 129

Table 5.4 Power schedules (P

i;t

) by thermal units considering

generator contingency constraint ................................... 131

xix

xx List of Tables

Table 5.5 Reserve provision (R

i;t

) by thermal units considering

generator contingency constraint ................................... 132

Table 5.6 Power schedules (P

i;t

) by thermal units considering

demand response constraint ........................................ 134

Table 6.1 The techno-economic data of thermal units in two-bus

OPF example ....................................................... 143

Table 6.2 The three-bus optimal power ﬂow solution (P

max

D 100 MW) ... 146

Table 6.3 The three-bus optimal power ﬂow solution (P

max

D 50 MW) .... 148

Table 6.4 The optimal power ﬂow solution in ﬁve-bus network ............. 150

Table 6.5 Branch data for IEEE RTS 24-bus network........................ 151

Table 6.6 Generation data for IEEE RTS 24-bus network ................... 152

Table 6.7 Base case solution of IEEE RTS 24-bus network (branch

ﬂow limits are unchanged).......................................... 154

Table 6.8 Solution of IEEE RTS 24-bus network (branch ﬂow limits

are reduced by 30%) ................................................ 155

Table 6.9 Solution of IEEE RTS 24-bus network (branch outage

contingencies) ....................................................... 156

Table 6.10 Solution of IEEE RTS 24-bus network (generator outage

contingencies) ....................................................... 158

Table 6.11 Solution of IEEE RTS 24-bus network (generator g

outage with load shedding modeling) .............................. 161

Table 6.12 Solution of IEEE RTS 24-bus network (generator g

outage with load shedding modeling and LMP calculation) ...... 162

Table 6.13 Thermal unit power generation schedules of multi-period

wind DC-OPF ....................................................... 165

Table 7.1 The data for ESS integrated dynamic economic dispatch ......... 176

Table 7.2 The dynamic economic dispatch data for four thermal

units example........................................................ 177

Table 7.3 The ESS integrated dynamic economic dispatch .................. 179

Table 7.4 Branch data for IEEE RTS 24-bus network........................ 186

Table 7.5 Generation data for IEEE RTS 24-bus network ................... 187

Table 8.1 Optimal allocation of PMU devices with minimum cost

without considering the ZIB ........................................ 209

Table 8.2 ZIB buses in different networks under study ...................... 210

Table 8.3 Optimal allocation of PMU devices for maximizing the

system observability of IEEE 14-bus network..................... 214

Table 8.4 Optimal allocation of PMU devices considering single line

outage ................................................................ 221

Table 8.5 Optimal allocation of PMU devices in multistage PMU

allocation ............................................................ 224

Table 9.1 Transmission expansion planning data for Garver six-bus

transmission network ............................................... 230

Table 9.2 Generator shift factors (a

) for three-bus network ................ 244

剩余308页未读，继续阅读

22：55

粉丝: 0
资源: 2

"GAMS中的电力系统优化建模：经典模型和算例仿真"

modelling and analysis of electric power systems

Tutorial of GAMS model

Power System Analysis

Artificial Intelligence in Power System Optimization

Pyomo—Optimization Modeling in Python

Pyomo - Optimization Modeling in Python Pyomo - Python中的优化建模

Bidirectional DC-DC Power Converter Design Optimization Modeling and Control.pdf

Optimization Modeling with Lingo 6th

lingo教程Optimization Modeling with LINGO

Power system reactive power optimization.zip_matlab例程_matlab_

最新资源