Abstract:Water distribution and power transmission networks are thought of as separate uncoupled infrastructure systems. In reality, they may be viewed as a single system which may be called the energy-water nexus. In hot and arid climates, this nexus takes on a deeper meaning in terms of the economic dispatch of power, water and cogenerating desalination units.This paper represents a co-optimization framework for the economic dispatch of water and electric power. In particular, an optimization program is provided that… Show more
“…It builds upon previous work [2,3,30] that presented the corresponding economic dispatch problem. The formulation was implemented and solved using MATLAB and GAMS.…”
Section: Discussionmentioning
confidence: 99%
“…The optimization program in the previous section was demonstrated on a hypothetical test case adapted from previous efforts focussed on the corresponding economic dispatch problem [2,3,[27][28][29]. This data is selected for two reasons: 1) The timing of power and water demand peaks and troughs is typical in the GCC and, 2) the range of the power and water demands is exaggerated to demonstrate the convergence capability of the selected optimization engine .…”
Section: Simulation Methodologymentioning
confidence: 99%
“…The first, economic dispatch, would determine the optimal output of a number of electricity generation facilities, water treatment plants, and cogeneration plants to meet the water and power demands, at the lowest possible cost, subject to transmission and operational constraints. A model for the joint economic dispatch of both power and water in such a market has been presented in previous work [2,3]. The economic dispatch problem assumes that all facilities considered are online and ready to produce.…”
Section: Introductionmentioning
confidence: 99%
“…Recently however, a number of power-water grid cooptimization programs have been developed [2,3,[27][28][29]. These efforts have focussed on the economic dispatch of power, water and cogeneration plants in which all plants are assumed to be ready to produce.…”
Section: Introductionmentioning
confidence: 99%
“…In Section 3 a formulation for unit commitment of power, water and cogeneration plants is presented. The unit commitment model, like the previously developed economic dispatch models [2,3,[27][28][29] is developed with the aim of supporting discussion of the potential for integrated energy and water markets. It, however, can be directly implemented in the integrated water and electricity authorities that already exist in many countries in the GCC.…”
In regions that utilize thermal desalination as part of their water supply portfolio, the cogeneration of water and power in cogeneration desalination plants couples the supply sides of the electricity and water grids. For a fixed plant design, there is a limited range of ratios of generated electric power to produced water at any given time. Due to this coupling, electricity and water require co-optimization. In an environment in which electricity supply is determined by deregulated wholesale markets, this need for co-optimization suggests a need for integrated electricity and water markets. In this market, independent power producers, independent water producers and independent cogeneration plants would submit bids to satisfy demand over a time horizon to a clearing mechanism, indicating relevant physical constraints. The mechanism would then optimize supply of both electricity and water over the time horizon of interest. Recently, a simultaneous co-optimization method has been contributed for the economic dispatch of networks that include water, power and cogeneration facilities in such an integrated market. This paper builds upon this foundation with the introduction of the corresponding unit commitment problem.
“…It builds upon previous work [2,3,30] that presented the corresponding economic dispatch problem. The formulation was implemented and solved using MATLAB and GAMS.…”
Section: Discussionmentioning
confidence: 99%
“…The optimization program in the previous section was demonstrated on a hypothetical test case adapted from previous efforts focussed on the corresponding economic dispatch problem [2,3,[27][28][29]. This data is selected for two reasons: 1) The timing of power and water demand peaks and troughs is typical in the GCC and, 2) the range of the power and water demands is exaggerated to demonstrate the convergence capability of the selected optimization engine .…”
Section: Simulation Methodologymentioning
confidence: 99%
“…The first, economic dispatch, would determine the optimal output of a number of electricity generation facilities, water treatment plants, and cogeneration plants to meet the water and power demands, at the lowest possible cost, subject to transmission and operational constraints. A model for the joint economic dispatch of both power and water in such a market has been presented in previous work [2,3]. The economic dispatch problem assumes that all facilities considered are online and ready to produce.…”
Section: Introductionmentioning
confidence: 99%
“…Recently however, a number of power-water grid cooptimization programs have been developed [2,3,[27][28][29]. These efforts have focussed on the economic dispatch of power, water and cogeneration plants in which all plants are assumed to be ready to produce.…”
Section: Introductionmentioning
confidence: 99%
“…In Section 3 a formulation for unit commitment of power, water and cogeneration plants is presented. The unit commitment model, like the previously developed economic dispatch models [2,3,[27][28][29] is developed with the aim of supporting discussion of the potential for integrated energy and water markets. It, however, can be directly implemented in the integrated water and electricity authorities that already exist in many countries in the GCC.…”
In regions that utilize thermal desalination as part of their water supply portfolio, the cogeneration of water and power in cogeneration desalination plants couples the supply sides of the electricity and water grids. For a fixed plant design, there is a limited range of ratios of generated electric power to produced water at any given time. Due to this coupling, electricity and water require co-optimization. In an environment in which electricity supply is determined by deregulated wholesale markets, this need for co-optimization suggests a need for integrated electricity and water markets. In this market, independent power producers, independent water producers and independent cogeneration plants would submit bids to satisfy demand over a time horizon to a clearing mechanism, indicating relevant physical constraints. The mechanism would then optimize supply of both electricity and water over the time horizon of interest. Recently, a simultaneous co-optimization method has been contributed for the economic dispatch of networks that include water, power and cogeneration facilities in such an integrated market. This paper builds upon this foundation with the introduction of the corresponding unit commitment problem.
Electricity, water, and gas systems are critical infrastructures that are sustaining our daily lives. This paper studies the joint operation of these systems through a proposed optimization model and explores the advantage of considering the system of systems. Individual and joint optimizations are studied and compared. The numerical results show that the total electricity cost for these three systems can be reduced by 9% via joint optimization. Because the water system and gas system intrinsically include the storages in their systems, the power system can use these storages as the regulation capacity to shift load from peak hours to off-peak hours. Since the saving on the power generation cost surpasses the incremental cost in the operation and maintenance (O&M), the overall economic performance is improved by the joint optimization.
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